Now showing items 1286-1305 of 2310

    • Multiple wavelet basis image denoising using Besov ball projections 

      Choi, Hyeokho; Baraniuk, Richard G. (2004-09-01)
      We propose a new image denoising algorithm that exploits an image's representation in multiple wavelet domains. Besov balls are convex sets of images whose Besov norms are bounded from above by their radii. Projecting an ...
    • Multiple Window Time Frequency Analysis 

      Bayram, Metin; Baraniuk, Richard G. (1996-06-01)
      We propose a robust method for estimating the time-varying spectrum of a non-stationary random process. Our approach extends Thomson's powerful multiple window spectrum estimation scheme to the time-frequency and time-scale ...
    • Multiple Window Time Varying Spectrum Estimation 

      Baraniuk, Richard G.; Bayram, Metin (2000-01-20)
      We overview a new non-parametric method for estimating the time-varying spectrum of a non-stationary random process. Our method extends Thomson's powerful multiple window spectrum estimation scheme to the time-frequency ...
    • Multiple window time-frequency analysis 

      Bayram, Metin (1996)
      The bias-variance trade-off is an important issue is spectrum estimation. In 1982, Thomson introduced a powerful multiple window method for stationary signals that deals with the bias-variance trade-off in an optimal ...
    • A Multiplexable, Microfluidic Platform for the Rapid Quantitation of a Biomarker Panel for Early Ovarian Cancer Detection at the Point-of-Care 

      Shadfan, Basil H.; Simmons, Archana R.; Simmons, Glennon W.; Ho, Andy; Wong, Jorge; Lu, Karen H.; Bast, Robert C. Jr.; McDevitt, John T. (2015)
      Point-of-care (POC) diagnostic platforms have the potential to enable low-cost, large-scale screening. As no single biomarker is shed by all ovarian cancers, multiplexed biomarker panels promise improved sensitivity and ...
    • Multiplexed In?Situ Immunofluorescence Using Dynamic DNA Complexes 

      Schweller, Ryan M.; Zimak, Jan; Duose, Dzifa Y.; Qutub, Amina A.; Hittelman, Walter N.; Diehl, Michael R. (2012)
    • Multiplicative Multiscale Image Decompositions: Analysis and Modeling 

      Romberg, Justin; Riedi, Rudolf H.; Choi, Hyeokho; Baraniuk, Richard G. (2000-07-01)
      Multiscale processing, in particular using the wavelet transform, has emerged as an incredibly effective paradigm for signal processing and analysis. In this paper, we discuss a close relative of the Haar wavelet transform, ...
    • Multiresolution Intensity Estimation of Piecewise Linear Poisson Processes 

      Willett, Rebecca (2001-04-20)
      Given observations of a one-dimensional piecewise linear, length-M Poisson intensity function, our goal is to estimate both the partition points and the parameters of each segment. In order to determine where the breaks ...
    • Multiresolution methods for recovering signals and sets from noisy observations 

      Willett, Rebecca M. (2005)
      The nonparametric multiscale partition-based estimators presented in this thesis are powerful tools for signal reconstruction and set estimation from noisy observations. Unlike traditional wavelet-based multiscale methods, ...
    • Multiresolution Nonparametric Intensity and Density Estimation 

      Willett, Rebecca; Nowak, Robert David (2002-05-20)
      This paper introduces a new multiscale method for nonparametric piecewise polynomial intensity and density estimation of point processes. Fast, piecewise polynomial, maximum penalized likelihood methods for intensity and ...
    • Multiscale analysis for intensity and density estimation 

      Willett, Rebecca M. (2002)
      The nonparametric multiscale polynomial and platelet algorithms presented in this thesis are powerful new tools for signal and image denoising and reconstruction. Unlike traditional wavelet-based multiscale methods, these ...
    • Multiscale Analysis for Intensity and Density Estimation 

      Willett, Rebecca (2002-04-20)
      The nonparametric multiscale polynomial and platelet algorithms presented in this thesis are powerful new tools for signal and image denoising and reconstruction. Unlike traditional wavelet-based multiscale methods, these ...
    • Multiscale Approximation of Piecewise Smooth Two-Dimensional Function using Normal Triangulated Meshes 

      Jansen, Maarten; Baraniuk, Richard G.; Lavu, Sridhar (2005-07-01)
      Multiresolution triangulation meshes are widely used in computer graphics for representing three-dimensional(3-d) shapes. We propose to use these tools to represent 2-d piecewise smooth functions such as grayscale ...
    • A Multiscale Bayesian Framework for Linear Inverse Problems and Its Application to Image Restoration 

      Wan, Yi; Nowak, Robert David (2001-01-20)
      In this paper we develop a wavelet-based statistical method for solving linear inverse problems. The Bayesian framework developed here is general enough to treat a wide class of linear inverse problems involving (white ...
    • Multiscale Classification using Complex Wavelets and Hidden Markov Tree Models 

      Romberg, Justin; Choi, Hyeokho; Baraniuk, Richard G.; Kingsbury, Nicholas G. (2000-09-01)
      Multiresolution signal and image models such as the hidden Markov tree (HMT) aim to capture the statistical structure of smooth and singular (textured and edgy) regions. Unfortunately, models based on the orthogonalwavelet ...
    • Multiscale Connection-Level Analysis of Network Traffic 

      Sarvotham, Shriram; Riedi, Rudolf H.; Baraniuk, Richard G. (2002-11-01)
      Network traffic exhibits drastically different statistics, ranging from nearly Gaussian marginals and long range dependence at very large time scales to highly non-Gaussian marginals and multifractal scaling on small scales. ...
    • A Multiscale Data Representation for Distributed Sensor Networks 

      Wagner, Raymond; Sarvotham, Shriram; Baraniuk, Richard G. (2005-03-01)
      Though several wavelet-based compression solutions for wireless sensor network measurements have been proposed, no such technique has yet appreciated the need to couple a wavelet transform tolerant of irregularly sampled ...
    • A Multiscale Data Representation for Distributed Sensor Networks: Proofs of Basis Characteristics and Error Bounds 

      Sarvotham, Shriram; Wagner, Raymond; Baraniuk, Richard G. (2004-09-01)
      Provides proofs of Parseval tight-frame membership and approximation properties for the basis proposed in "A Multiscale Data Representation for Distributed Sensor Networks" by R. Wagner, S. Sarvotham, and R. Baraniuk (ICASSP ...
    • Multiscale Density Estimation 

      Willett, Rebecca; Nowak, Robert David (2003-08-20)
      The nonparametric density estimation method proposed in this paper is computationally fast, capable of detecting density discontinuities and singularities at a very high resolution, spatially adaptive, and offers near ...
    • Multiscale Edge Grammars for Complex Wavelet Transforms 

      Romberg, Justin; Choi, Hyeokho; Baraniuk, Richard G. (2001-10-01)
      Wavelet domain algorithms have risen to the forefront of image processing. The power of these algorithms is derived from the fact that the wavelet transform restructures the image in a way that makes statistical modeling ...